Olivier Chapelle
Olivier Chapelle
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Title
Cited by
Cited by
Year
The pascal visual object classes (voc) challenge
M Everingham, L Van Gool, CKI Williams, J Winn, A Zisserman
International journal of computer vision 88 (2), 303-338, 2010
12834*2010
Semi-Supervised Learning
O Chapelle, B Scholkopf, A Zien
MIT Press, 2006
5724*2006
A discussion of semi-supervised learning and transduction
O Chapelle, B Scholkopf, A Zien
Semi-Supervised Learning. MIT Press, Cambridge, MA, 457-462, 2006
5716*2006
Choosing multiple parameters for support vector machines
O Chapelle, V Vapnik, O Bousquet, S Mukherjee
Machine learning 46 (1), 131-159, 2002
31692002
Support vector machines for histogram-based image classification
O Chapelle, P Haffner, VN Vapnik
IEEE transactions on Neural Networks 10 (5), 1055-1064, 1999
19901999
Feature selection for SVMs
J Weston, S Mukherjee, O Chapelle, M Pontil, T Poggio, V Vapnik
Advances in neural information processing systems, 668-674, 2001
13742001
Scaling learning algorithms towards AI
Y Bengio, Y LeCun
Large-scale kernel machines 34 (5), 1-41, 2007
13522007
An empirical evaluation of thompson sampling
O Chapelle, L Li
Advances in neural information processing systems 24, 2249-2257, 2011
10212011
Semi-supervised classification by low density separation.
O Chapelle, A Zien
AISTATS 2005, 57-64, 2005
9342005
Training a support vector machine in the primal
O Chapelle
Neural Computation 19 (5), 1155-1178, 2007
9052007
Expected reciprocal rank for graded relevance
O Chapelle, D Metlzer, Y Zhang, P Grinspan
Proceeding of the 18th ACM conference on Information and knowledge …, 2009
7762009
Bounds on error expectation for support vector machines
V Vapnik, O Chapelle
Neural computation 12 (9), 2013-2036, 2000
7162000
Cluster kernels for semi-supervised learning
O Chapelle, J Weston, B Schölkopf
Advances in neural information processing systems 15, 585-592, 2002
6262002
Combining active learning and semi-supervised learning using gaussian fields and harmonic functions
X Zhu, J Lafferty, Z Ghahramani
ICML 2003 workshop on the continuum from labeled to unlabeled data in …, 2003
5782003
A dynamic bayesian network click model for web search ranking
O Chapelle, Y Zhang
Proceedings of the 18th international conference on World wide web, 1-10, 2009
5232009
Optimization techniques for semi-supervised support vector machines.
O Chapelle, V Sindhwani, SS Keerthi
Journal of Machine Learning Research 9 (2), 2008
4772008
Yahoo! learning to rank challenge overview
O Chapelle, Y Chang
JMLR: Workshop and Conference Proceedings 14, 1-24, 2011
4752011
Model selection for support vector machines
O Chapelle, V Vapnik
Advances in neural information processing systems 12, 230-236, 1999
4441999
Feature selection for support vector machines by means of genetic algorithm
H Frohlich, O Chapelle, B Scholkopf
Tools with Artificial Intelligence, 2003. Proceedings. 15th IEEE …, 2003
441*2003
Feature selection for support vector machines using genetic algorithms
H Fröhlich, O Chapelle, B Schölkopf
International Journal on Artificial Intelligence Tools 13 (4), 791-800, 2004
436*2004
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